Enumeration Areas Research Articles

Histoplasma seropositivity and environmental risk factors for exposure in a general population in Upper River Region, The Gambia: A cross-sectional study

Robust surveillance of Histoplasma species is warranted in endemic regions, including investigation of community-level transmission dynamics. This cross-sectional study explored anti-Histoplasma antibody seroprevalence and risk factors for exposure in a general population in Upper River Region (URR), The Gambia.Study participants were recruited (December 2022–March 2023) by random household sampling across 12 Enumeration Areas (EAs) of URR. A questionnaire and clinical examination were performed; exploring demographic, clinical and environmental risk factors for Histoplasma exposure. One venous blood sample per participant was subject to IMMY Latex Agglutination Histoplasma test to determine presence of a recent IgM response to Histoplasma. Seropositivity risk factors were explored by multi-level, multivariable logistic regression analysis.The study population (n = 298) aged 5–83 years, demonstrated a positively skewed age distribution and comprised 55.4% females. An apparent seroprevalence of 18.8% (n = 56/298, 95% CI 14.5–23.7%) was measured using the LAT. A multivariable model demonstrated increased odds of Histoplasma seropositivity amongst female participants (OR = 2.41 95% CI 1.14–5.10); and participants reporting involvement in animal manure management (OR = 4.21 95% CI 1.38–12.90), and management of domestic animals inside the compound at night during the dry season (OR = 10.72 95% CI 2.02–56.83). Increasing age (OR = 0.96 95% CI 0.93–0.98) was associated with decreased odds of seropositivity. Clustering at EA level was responsible for 17.2% of seropositivity variance.The study indicates frequent recent Histoplasma exposure and presents plausible demographic and environmental risk factors for seropositivity. Histoplasma spp. characterisation at this human-animal-environment interface is warranted, to determine public health implications of environmental reservoirs in The Gambia.The study was supported by Wellcome Trust (206,638/Z/17/Z to CES) and a University of Liverpool-funded PhD studentship (to TRC).

Co-Production of Public Services and Performance of Counties in Kenya: Does Literacy Matter?

The benefits of an educated citizenry have been acknowledged widely as their contribution to governance is apparent including their participation in the production of services. As a result, citizens are increasingly involved in critical decisions of the state through public participation. It is on this basis that the study sought to examine the role of literacy levels on the relationship between coproduction and performance. Data was obtained from round 9 of the Afrobarometer survey. A sample of 2400 respondents was identified using a stratified random sampling technique. The sample was spread across the 47 counties of Kenya. A total of 8 Enumeration Areas (EAs) of 300 samples were selected. Probability Proportionate to Population Size (PPPS) was used to randomly choose population Sampling Units (PSUs). Data was collected using a structured questionnaire and administered by research assistants. The study established that the performance of county governments was below the citizens expectation. Nevertheless, there was a significant relationship between co production and performance for the respondents with basic and tertiary education clusters as opposed to those with informal education. The finding builds the existing literature on co production, literacy and performance and helps stakeholders to create polices to support the co production framework and establish an environment for promoting literacy of citizens.

Inequalities in urban air pollution in sub-Saharan Africa: an empirical modeling of ambient NO and NO2 concentrations in Accra, Ghana.

Road traffic has become the leading source of air pollution in fast-growing sub-Saharan African cities. Yet, there is a dearth of robust city-wide data for understanding space-time variations and inequalities in combustion related emissions and exposures. We combined nitrogen dioxide (NO2) and nitric oxide (NO) measurement data from 134 locations in the Greater Accra Metropolitan Area (GAMA), with geographical, meteorological, and population factors in spatio-temporal mixed effects models to predict NO2 and NO concentrations at fine spatial (50 m) and temporal (weekly) resolution over the entire GAMA. Model performance was evaluated with 10-fold cross-validation (CV), and predictions were summarized as annual and seasonal (dusty [Harmattan] and rainy [non-Harmattan]) mean concentrations. The predictions were used to examine population distributions of, and socioeconomic inequalities in, exposure at the census enumeration area (EA) level. The models explained 88% and 79% of the spatiotemporal variability in NO2 and NO concentrations, respectively. The mean predicted annual, non-Harmattan and Harmattan NO2 levels were 37 (range: 1-189), 28 (range: 1-170) and 50 (range: 1-195) µg m-3, respectively. Unlike NO2, NO concentrations were highest in the non-Harmattan season (41 [range: 31-521] µg m-3). Road traffic was the dominant factor for both pollutants, but NO2 had higher spatial heterogeneity than NO. For both pollutants, the levels were substantially higher in the city core, where the entire population (100%) was exposed to annual NO2 levels exceeding the World Health Organization (WHO) guideline of 10 µg m-3. Significant disparities in NO2 concentrations existed across socioeconomic gradients, with residents in the poorest communities exposed to levels about 15 µg m-3 higher compared with the wealthiest (p < 0.001). The results showed the important role of road traffic emissions in air pollution concentrations in the GAMA, which has major implications for the health of the city's poorest residents. These data could support climate and health impact assessments as well as policy evaluations in the city.

Knowledge, Attitudes, and Practices on COVID-19 Vaccination among General Adult Population in Malawi: A Countrywide Cross-Sectional Survey.

Vaccination is one of the essential measures in reducing transmission, morbidity, and mortality rates of a disease. However, the COVID-19 vaccination is facing hesitancy across the globe, Malawi included. A population-based cross-sectional study was conducted in Malawi to document knowledge, attitudes, and practices on COVID-19 vaccination. The study targeted the general adult population and employed a multi-stage sampling technique. The Census Enumeration Areas within the 16 selected districts served as a primary sampling unit. Among the total 3068 participants, 1947 (63.6%) were female. About 1039 (34.1%) participants had primary education, while only 169 (5.5%) had college education. A total of 2936 (95.7%) participants knew about the COVID-19 vaccine, and 2063 (68.4%) felt that the COVID-19 vaccine was effective. A total of 1180 (38.7%) got vaccinated. Knowledge of the COVID-19 vaccination was significantly associated with participants' education levels, location, occupation, marital status, household family income, and whether they were suffering from chronic illness or not. Overall, the level of knowledge and attitudes about the COVID-19 vaccination was good. This study has also established that different population groups have statistically different levels of knowledge and attitudes regarding COVID-19 vaccination. This study has also indicated a significant relationship between the rate of vaccination and several factors. Therefore, this calls for stakeholders to continue awareness and group-targeted tailored campaigns so as to increase COVID-19 vaccination.

The contextual awareness, response and evaluation (CARE) diabetes project: study design for a quantitative survey of diabetes prevalence and non-communicable disease risk in Ga Mashie, Accra, Ghana

ABSTRACT Diabetes is estimated to affect between 3.3% and 8.3% of adults in Ghana, and prevalence is expected to rise. The lack of cost-effective diabetes prevention programmes designed specifically for the Ghanaian population warrants urgent attention. The Contextual Awareness, Response and Evaluation (CARE): Diabetes Project in Ghana is a mixed methods study that aims to understand diabetes in the Ga Mashie area of Accra, identify opportunities for community-based intervention and inform future diabetes prevention and control strategies. This paper presents the study design for the quantitative survey within the CARE project. This survey will take place in the densely populated Ga Mashie area of Accra, Ghana. A household survey will be conducted using simple random sampling to select households from 80 enumeration areas identified in the 2021 Ghana Population and Housing Census. Trained enumerators will interview and collect data from permanent residents aged ≥ 25 years. Pregnant women and those who have given birth in the last six months will be excluded. Data analysis will use a combination of descriptive and inferential statistics, and all analyses will account for the cluster sampling design. Analyses will describe the prevalence of diabetes, other morbidities, and associated risk factors and identify the relationship between diabetes and physical, social, and behavioural parameters. This survey will generate evidence on drivers and consequences of diabetes and facilitate efforts to prevent and control diabetes and other NCDs in urban Ghana, with relevance for other low-income communities.

Level of completion of a continuum of age-appropriate infant feeding practices and barriers among breastfeeding mothers in Ethiopia: a mixed methods study

BackgroundEthiopia has committed to ending undernutrition by implementing nutrition intervention strategies, including promoting optimal feeding and care practices. To monitor and evaluate optimal infant feeding practices, it is crucial to have reliable and quality data on infant feeding indicators. Therefore, this study aimed to evaluate the extent to which breastfeeding mothers in Ethiopia have completed the continuum of age-appropriate infant feeding practices and the barriers they face.MethodsIn this study, a sequential explanatory mixed method design was used. First, using datasets from performance monitoring for action (PMA) in Ethiopia, we estimated the level of the outcome and associated factors. In the quantitative (QUAN) analysis, 1755 mothers of infants were included to generate estimates. A generalized estimating equations logistic regression model was used to identify factors associated with the outcome by accounting for the clustering nature of the data by enumeration area. Then, a qualitative (QUAL) study was conducted with 14 mothers to explore their infant feeding practices using an in-depth interview guide and analyzed using a thematic approach. Results from both quantitative and qualitative data were integrated, described under the identified thematic areas, and interpreted concurrently.ResultsThis study showed that 13.96% (95% CI: 12.4 to 15.6%) of mothers practiced a complete continuum of age-appropriate infant feeding. Over 8% of mothers did not practice any optimal feeding. Nearly 47% of mothers practiced optimal breastfeeding, and one-fifth of mothers practiced optimal complementary feeding. Results from both quantitative and qualitative data showed that mothers’ complete continuum of age-appropriate infant feeding practice was affected by their level of income, knowledge, and attitude towards optimal infant feeding, as well as by important others, including husbands, grandmothers, and health workers.ConclusionThe level of a complete continuum of age-appropriate infant feeding practice is low among breastfeeding mothers in Ethiopia. Mothers’ optimal feeding practices in Ethiopia are affected by their level of knowledge and attitude towards infant feeding, income or access to food, and health workers or family members. Therefore, collaborative efforts are needed to strengthen mothers’ education on the health benefits of optimal infant feeding and design and promote strategies to improve household income or access to diverse food.

Spatial variation and geographical weighted regression analysis to explore open defecation practice and its determinants among households in Ethiopia.

In Ethiopia, recent evidence revealed that over a quarter (27%) of households (HHs) defecated openly in bush or fields, which play a central role as the source of many water-borne infectious diseases, including cholera. Ethiopia is not on the best track to achieve the SDG of being open-defecation-free by 2030. Therefore, this study aimed to explore the spatial variation and geographical inequalities of open defecation (OD) among HHs in Ethiopia. This was a country-wide community-based cross-sectional study among a weighted sample of 8663 HHs in Ethiopia. The global spatial autocorrelation was explored using the global Moran's-I, and the local spatial autocorrelation was presented by Anselin Local Moran's-I to evaluate the spatial patterns of OD practice in Ethiopia. Hot spot and cold spot areas of OD were detected using ArcGIS 10.8. The most likely high and low rates of clusters with OD were explored using SaTScan 10.1. Geographical weighted regression analysis (GWR) was fitted to explore the geographically varying coefficients of factors associated with OD. The prevalence of OD in Ethiopia was 27.10% (95% CI: 22.85-31.79). It was clustered across enumeration areas (Global Moran's I = 0.45, Z-score = 9.88, P-value ≤ 0.001). Anselin Local Moran's I analysis showed that there was high-high clustering of OD at Tigray, Afar, Northern Amhara, Somali, and Gambela regions, while low-low clustering of OD was observed at Addis Ababa, Dire-Dawa, Harari, SNNPR, and Southwest Oromia. Hotspot areas of OD were detected in the Tigray, Afar, eastern Amhara, Gambela, and Somali regions. Tigray, Afar, northern Amhara, eastern Oromia, and Somali regions were explored as having high rates of OD. The GWR model explained 75.20% of the geographical variation of OD among HHs in Ethiopia. It revealed that as the coefficients of being rural residents, female HH heads, having no educational attainment, having no radio, and being the poorest HHs increased, the prevalence of OD also increased. The prevalence of OD in Ethiopia was higher than the pooled prevalence in sub-Saharan Africa. Tigray, Afar, northern Amhara, eastern Oromia, and Somali regions had high rates of OD. Rural residents, being female HH heads, HHs with no educational attainment, HHs with no radio, and the poorest HHs were spatially varying determinants that affected OD. Therefore, the government of Ethiopia and stakeholders need to design interventions in hot spots and high-risk clusters. The program managers should plan interventions and strategies like encouraging health extension programs, which aid in facilitating basic sanitation facilities in rural areas and the poorest HHs, including female HHs, as well as community mobilization with awareness creation, especially for those who are uneducated and who do not have radios.

Nationwide Geospatial Analysis to Identify Variations in Primary Cardiovascular Risk in Ethiopia.

Cardiovascular disease (CVD) varies across regions due to socioeconomic, cultural, lifestyle, healthcare access, and environmental factors. To find geographical variations in 10-year primary CVD risk and assess the impact of contextual factors on CVD risk. Data from 2658 Ethiopians aged 40 to 69 years with no previous CVD who participated in a nationally representative World Health Organization (WHO) STEPS survey in 2015 were included in the analysis. The mean 10-year CVD risk for 450 enumeration areas (EA) was used to identify spatial autocorrelation (using Global Moran's I) and CVD hot spots (using getas-Ord Gi*). Geographically Weighted Regression (GWR) analysis quantified the relationship between mean 10-year CVD risk and climate-related factors across areas. The spatial autocorrelation analysis identified significant spatial variation in the 10-year CVD risk at the EA level, with a global Moran's I value of 0.016. Statistically significant hot spot areas with 10-year CVD risk were identified in Addis Ababa (the capital), Benishangul Gumuz, SNNPR (Southern Nations, Nationalities, and Peoples' Region), Amhara, Afar, Oromia, and Hareri regions. In a multivariable GWR analysis, average water vapor pressure was a statistically significant explanatory variable for the geographical variations in 10-year CVD risk. Hot spot areas for 10-year CVD risk were identified across numerous country regions rather than concentrated in a specific region. Alongside these hot spot areas, regions with a higher annual water vapor pressure (humidity) were identified as geographical targets for CVD prevention.

Individual and community level factors associated with modern contraceptive utilization among women in Ethiopia: Multilevel modeling analysis.

Modern contraceptive utilization is the most effective intervention to tackle unintended pregnancy and thereby reduce abortion and improve maternal, child, and newborn health. However, multilevel factors related to low modern contraceptive utilization and the robust analysis required for decision-making were scarce in Ethiopia. To investigate the individual and community-level predictors of modern contraceptive utilization among reproductive-age women in Ethiopia. We utilized data from a cross-sectional 2019 Performance Monitoring for Action Ethiopia survey. The survey employed a stratified two-stage cluster sampling method to select households for inclusion. In Stata version 16.0, the data underwent cleaning, aggregation, and survey weighting, following which a descriptive analysis was performed utilizing the "svy" command. Subsequently, the primary analysis was executed using R software version 4.1.3. We fitted a two-level mixed effects logistic regression model on 6,117 reproductive-age women nested within 265 enumeration areas (clusters). The fixed effect models were fitted. The measures of variation were explained by intra-cluster correlation, median odds ratio, and proportional change in variance. The shrinkage factor was calculated to estimate the effects of cluster variables using the Interval odds ratio and proportion opposed odds ratio. Finally, the independent variables with a significance level of (P<0.05) and their corresponding Adjusted Odds ratios and 95% confidence intervals were described for the explanatory factors in the final model. In Ethiopia, the prevalence of modern contraceptive utilization was only 37.% (34.3 to 39.8). Women who attained primary, secondary, and above secondary levels of education were more likely to report modern contraceptive utilization with AOR of 1.47, 1.73, and 1.58, respectively. Divorced/widowed women were less likely to report modern contraceptive utilization (AOR:0.18, 95% CI 0.13,0.23) compared to never-married women. Discussions between women and healthcare providers at the health facility about family planning were positively associated with modern contraceptive utilization (AOR:1.84, 95% CI: 1.52, 2.23). Community-level factors have a significant influence on modern contraceptive utilization, which is attributed to 21.9% of the total variance in the odds of using modern contraceptives (ICC = 0.219). Clusters with a higher proportion of agrarian (AOR: 2.27, 95% CI 1.5, 3.44), clusters with higher literacy (AOR: 1.46, 95% CI 1.09, 1.94), clusters with empowered women and girls about FP (AOR: 1.47, 95% CI 1.11, 1.93) and clusters with high supportive attitudes and norms toward FP (AOR: 1.37, 95% CI 1.04, 1.81) had better modern contraceptive utilization than their counterparts. In Ethiopia, understanding the factors related to modern contraceptive use among women of reproductive age requires consideration of both individual and community characteristics. Hence, to enhance family planning intervention programs, it is essential to focus on the empowerment of women and girls, foster supportive attitudes towards family planning within communities, collaborate with education authorities to enhance overall community literacy, pay special attention to pastoralist communities, and ensure that reproductive-age women as a whole are targeted rather than solely focusing on married women.

Maternal socio-economic status determines animal source food consumption of children aged 6-23 months in East African countries: a multilevel mixed-effects generalized linear model.

Nutrient deficiencies in Africa persist due to limited access to animal-source foods, causing a higher undernutrition prevalence, with 30.7% stunted children under five, which is higher than the global average of 22.0%. In African regions, there needs to be more information on access, consumption, and factors influencing children's animal-source food consumption. Therefore, we comprehensively analyse data from the Demographic and Health Surveys (DHS) to determine factors associated with children's (aged 6-23 months) consumption of animal-source foods (ASFs) in East African countries, which is crucial for policy and program development. We utilized cross-sectional pooled DHS data from nine East African countries reported from 2015 to 2021. The sample size consisted of 18,686 weighted children aged 6-23 months who were included. The DHS data were collected from women (15-49 years old) from households in each enumeration area of each country. We calculated the pooled proportion of consumption of foods of animal origin using multi-level logistic regression analysis to determine factors of ASFs, and the strength of the association was measured by an adjusted odds ratio (AOR) with a 95% CI and a p-value < 0.05, which was declared as significant. The study found that 51.07% (95% CI: 50.26-51.88%) of infants and young children in East Africa consume ASFs, with variation across countries, of which 28.26% (95% CI: 26.31-30.29%) was the lowest in Burundi and 55.81% (95% CI: 53.39-58.21%) was the highest ASF consumption in Zimbabwe. The amount of ASF consumed grows with children's age and varies greatly between countries. In addition, children in the wealthiest quintile and with the highest educational attainment consume more ASFs. However, those who lived in rural areas consumed fewer ASFs. The consumption of ASFs increased with the age of children, maternal education, and household wealth index. The government and non-government sectors should implement public health interventions targeting rural residents and poor households to increase access to and consumption of ASFs for children aged 6-23 months in East Africa.

Decomposing the rural-urban disparities in overweight and obesity among women of reproductive age in Nigeria

BackgroundOverweight and obese women face various reproductive and other health challenges, and in some cases, even mortality. Despite evidence of rural-urban disparities in overweight and obesity among women of reproductive age, there is limited evidence regarding the predictors of these disparities. This study aims to investigate the factors associated with overweight and obesity and examine the contributors to rural-urban disparities in overweight and obesity among women of reproductive age in Nigeria.MethodsWe utilized the 2018 Nigeria Demographic and Health Survey dataset. The survey employed a two-stage cluster sampling technique based on Nigeria’s 2006 census enumeration areas for sample selection. Overweight and obesity were defined as a body mass index (BMI) ≥ 25. Data analyses were conducted using the Logistic Regression Model and the threefold Blinder-Oaxaca decomposition model (α0.05).ResultsThe study revealed that older women (OR = 2.44; CI = 2.11–2.83), those with higher wealth (OR = 2.05; CI = 1.81–2.31), contraceptive users (OR = 1.41; CI = 1.27–1.57), and residents of the South-South region (OR = 1.24; CI = 1.07–1.45) were more likely to be overweight/obese. The decomposition analysis indicated that the mean predicted prevalence of overweight and obesity is 35.5% in urban areas, compared to 21.1% in rural areas of Nigeria. Factors such as wealth status, educational level, media exposure, and contraceptive use were identified as significant contributors to these disparities.ConclusionThe findings underscore the importance of addressing socioeconomic disparities when designing healthcare interventions to reduce the burden of overweight and obesity, particularly in urban areas. Prioritizing these factors can facilitate efforts to promote healthier lifestyles and enhance overall well-being.

Effectiveness of conditional cash transfers, subsidized child care and life skills training on adolescent mothers’ schooling, sexual and reproductive health, and mental health outcomes in Burkina Faso and Malawi: the PROMOTE Project pilot randomized controlled trial protocol

IntroductionGirls’ and women’s health as well as social and economic wellbeing are often negatively impacted by early childbearing. In many parts of Africa, adolescent girls who get pregnant often drop out of school, resulting in widening gender inequalities in schooling and economic participation. Few interventions have focused on education and economic empowerment of adolescent mothers in the region. We aim to conduct a pilot randomized controlled trial in Blantyre (Malawi) and Ouagadougou (Burkina Faso) to examine the acceptability and feasibility of three interventions in improving educational and health outcomes among adolescent mothers and to estimate the effect and cost-effectiveness of the three interventions in facilitating (re)entry into school or vocational training. We will also test the effect of the interventions on their sexual and reproductive health (SRH) and mental health.InterventionsThe three interventions we will assess are: a cash transfer conditioned on (re)enrolment into school or vocational training, subsidized childcare, and life skills training offered through adolescent mothers’ clubs. The life skills training will cover nurturing childcare, SRH, mental health, and financial literacy. Community health workers will facilitate the clubs. Each intervention will be implemented for 12 months.MethodsWe will conduct a baseline survey among adolescent mothers aged 10–19 years (N = 270, per site) enrolled following a household listing in select enumeration areas in each site. Adolescent mothers will be interviewed using a structured survey adapted from a previous survey on the lived experiences of pregnant and parenting adolescents in the two sites. Following the baseline survey, adolescent mothers will be individually randomly assigned to one of three study arms: arm one (adolescent mothers’ clubs only); arm two (adolescent mothers’ clubs + subsidized childcare), and arm three (adolescent mothers’ clubs + subsidized childcare + cash transfer). At endline, we will re-administer the structured survey and assess the average treatment effect across the three groups following intent-to-treat (ITT) analysis, comparing school or vocational training attendance during the intervention period. We will also compare baseline and endline measures of SRH and mental health outcomes. Between the baseline and endline survey, we will conduct a process evaluation to examine the acceptability and feasibility of the interventions and to track the implementation of the interventions.DiscussionOur research will generate evidence that provides insights on interventions that can enable adolescent mothers to continue their education, as well as improve their SRH and mental health. We aim to maximize the translation of the evidence into policy and action through sustained engagement from inception with key stakeholders and decision makers and strategic communication of research findings.Trial registration number AEARCTR-0009115, May 15, 2022.

Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania

IntroductionDespite its numerous benefits, exclusive breastfeeding (EBF) remains an underutilized practice. Enhancing EBF uptake necessitates a focused approach targeting regions where its adoption is suboptimal. This study aimed to investigate regional disparities in EBF practices and identify determinants of EBF among infants aged 0–1, 2–3, and 4–5 months in Tanzania.MethodsThis cross-sectional study utilized data from the 2015/16 Tanzania Demographic and Health Survey. A total of 1,015 infants aged 0–5 met the inclusion criteria, comprising 378 aged 0–1 month, 334 at 2–3 months, and 303 at 4–5 months. EBF practices were assessed using a 24-hour recall method. A generalized linear mixed model, with fixed covariates encompassing infant and maternal attributes and clusters for enumeration areas (EAs) and regions, was employed to estimate EBF proportions.ResultsRegional disparities in EBF were evident among infants aged 0–1, 2–3, and 4–5 months, with decline in EBF proportions as an infant’s age increases. This pattern was observed nationwide. Regional and EA factors influenced the EBF practices at 0–1 and 2–3 months, accounting for 17–40% of the variability at the regional level and 40–63% at the EA level. Literacy level among mothers had a significant impact on EBF practices at 2–3 months (e.g., women who could read whole sentences; AOR = 3.2, 95% CI 1.1,8.8).ConclusionRegional disparities in EBF proportions exist in Tanzania, and further studies are needed to understand their underlying causes. Targeted interventions should prioritize regions with lower EBF proportions. This study highlights the clustering of EBF practices at 0–1 and 2–3 months on both regional and EA levels. Conducting studies in smaller geographical areas may enhance our understanding of the enablers and barriers to EBF and guide interventions to promote recommended EBF practices.

Spatial accessibility to health facilities among pregnant women with and without exposure to intimate partner violence in Uganda

BackgroundPoor physical access to health facilities could increase the likelihood of undetected intimate partner violence (IPV) during pregnancy. We aimed to determine sub-regional differences and associations between spatial accessibility to health facilities and IPV among pregnant women in Uganda.MethodWeighted cross-sectional analyses were conducted using merged 2016 Uganda Demographic and Health Survey and 2014 Uganda Bureau of Statistics health facility datasets. Our study population were 986 women who self-reported being currently pregnant and responded to IPV items. Outcome was spatial accessibility computed as the near point linear distance [< 5 km (optimal) vs. ≥ 5 km (low)] between women’s enumeration area and health facility according to government reference cutoffs. Primary independent variable (any IPV) was defined as exposure to at least one of physical, emotional, and sexual IPV forms. Logistic regression models were sequentially adjusted for covariates in blocks based on Andersen’s behavioral model of healthcare utilization. Covariates included predisposing (maternal age, parity, residence, partner controlling behavior), enabling (wealth index, occupation, education, economic empowerment, ANC visit frequency), and need (wanted current pregnancy, difficulty getting treatment money, afraid of partner, and accepted partner abuse) factors.ResultsRespondents’ mean age was 26.1 years with ± 9.4 standard deviations (SD), mean number of ANC visits was 3.8 (± 1.5 SD) and 492/986 (49.9%) pregnant women experienced IPV. Median spatial accessibility to the nearest health facility was 4.1 km with interquartile range (IQR) from 0.2 to 329.1 km. Southwestern, and Teso subregions had the highest average percentage of pregnant women experiencing IPV (63.8–66.6%) while Karamoja subregion had the highest median spatial accessibility (7.0 to 9.3 km). In the adjusted analysis, pregnant women exposed to IPV had significantly higher odds of low spatial accessibility to nearest health facilities when compared to pregnant women without IPV exposure after controlling for enabling factors in Model 2 (aOR 1.6; 95%CI 1.2, 2.3) and need factors in Model 3 (aOR 1.5; 95%CI 1.1, 3.8).ConclusionsSpatial accessibility to health facilities were significantly lower among pregnant women with IPV exposure when compared to those no IPV exposure. Improving proximity to the nearest health facilities with ANC presents an opportunity to intervene among pregnant women experiencing IPV. Focused response and prevention interventions for violence against pregnant women should target enabling and need factors.

Complete sources of cluster variation on the risk of under-five malaria in Uganda: a multilevel-weighted mixed effects logistic regression model approach

BackgroundMalaria, a major cause of mortality worldwide is linked to a web of determinants ranging from individual to contextual factors. This calls for examining the magnitude of the effect of clustering within malaria data. Regrettably, researchers usually ignore cluster variation on the risk of malaria and also apply final survey weights in multilevel modelling instead of multilevel weights. This most likely produces biased estimates, misleads inference and lowers study power. The objective of this study was to determine the complete sources of cluster variation on the risk of under-five malaria and risk factors associated with under-five malaria in Uganda.MethodsThis study applied a multilevel-weighted mixed effects logistic regression model to account for both individual and contextual factors.ResultsEvery additional year in a child’s age was positively associated with malaria infection (AOR = 1.42; 95% CI 1.33–1.52). Children whose mothers had at least a secondary school education were less likely to suffer from malaria infection (AOR = 0.53; 95% CI 0.30–0.95) as well as those who dwelled in households in the two highest wealth quintiles (AOR = 0.42; 95% CI 0.27–0.64). An increase in altitude by 1 m was negatively associated with malaria infection (AOR = 0.98; 95% CI 0.97–0.99). About 77% of the total variation in the positive testing for malaria was attributable to differences between enumeration areas (ICC = 0.77; p < 0.001).ConclusionsInterventions towards reducing the burden of under-five malaria should be prioritized to improve individual-level characteristics compared to household-level features. Enumeration area (EA) specific interventions may be more effective compared to household specific interventions.

Field experience from designing and implementing a cold-chain system for the 2021 Nigeria national food consumption and micronutrient survey

Improving nutrition is a key component of efforts to promote sustainable development and improve health and well-being. However, it is impossible to effectively improve nutrition in a population without monitoring the nutrition status of vulnerable groups. Monitoring approaches such as micronutrient surveys are critical to allow stakeholders determine the prevalence of malnutrition and identify micronutrient deficiencies of public health importance and at-risk groups. In this regard, the 2021 Nigeria National Food Consumption and Micronutrient Survey (NFCMS 2021) collected biological samples from children aged 6-59 months, adolescent girls, as well as pregnant and non-pregnant women of reproductive age. The micronutrients of interest were retinol, thiamine, riboflavin, cobalamin, folate, iodine, iron, and zinc. Quantitative 24-hour dietary recall data were also collected from children aged 6-59 months, pregnant and non-pregnant women of reproductive age. To achieve its goal, the NFCMS 2021 had to overcome some hurdles. Therefore, the current study details the challenges of developing a cold-chain system for the survey and novel strategies employed to address them. The main challenges encountered included collecting, transporting, processing, storing, and analyzing over 51,143 samples from enumeration areas with unreliable electricity, difficult terrain, and far from functional health facilities. The survey successfully designed and implemented a cold-chain system across 364 enumeration areas in all 36 states and the Federal Capital Territory. This can be attributed to several factors. First, the team reviewed and documented the survey's cold-chain requirements. Second, stakeholder engagement with the federal and state governments allowed the use of Ministry of Health cold stores. This was followed by proximity mapping of survey enumeration areas to all existing cold stores, a visit to verify their suitability, and the selection of the best cold stores for the survey. The survey also procured the right equipments, and trained teams on cold-chain logistics, best practices, troubleshooting, and communication. An innovation of the survey was the use of checklists for decision-making and real-time temperature data loggers and dashboards for monitoring the cold-chain. Using detailed contingency plans for cold-chain logistics and leveraging cost-effective technologies can improve cold-chain transparency, efficiency, and integrity in resource-constrained settings, as was the case of the NFCMS 2021. The survey identified an unmet demand for a detailed manual with updated guidance on designing a cold-chain system for a nutrition survey. Key words: Cold-chain system, micronutrient survey, resource-constrained settings, Nigeria, Africa, NFCMS 2021

Trends of Exclusive Breastfeeding Practices and Its Determinants in Tanzania from 1999 to 2016.

Introduction: The benefits of exclusive breastfeeding (EBF) are widely reported. However, it is crucial to examine potential disparities in EBF practices across different regions of a country. Our study uses Tanzania demographic and health survey data to report on the trends of EBF across regions from 1999 to 2016, the patterns of the practice based on geographical location and socioeconomic status, and explores its determinants across the years. Methods: Descriptive statistics were used to establish the trends of EBF by geographical location and wealth quintile. A generalized linear mixed model was developed to incorporate both infant and maternal attributes as fixed covariates while considering enumeration areas and regions as clusters. The fitted model facilitated the estimation of EBF proportions at a regional level and identified key determinants influencing EBF practices across the survey periods. Moreover, we designed breastfeeding maps, visually depicting the performance of different regions throughout the surveys. Results: Across the various survey rounds, a notable regional variation in EBF practices was observed, with coastal regions generally exhibiting lower adherence to the practice. There was a linear trend between EBF and geographical residence (p < 0.05) and socioeconomic standing (p < 0.05) across the survey periods. Rural-dwelling women and those from the least affluent backgrounds consistently showcased a higher proportion of EBF. The prevalence of EBF declined as infants aged (p < 0.001), a trend consistent across all survey waves. The associations between maternal attributes and EBF practices displayed temporal variations. Furthermore, a correlation between exclusive breastfeeding and attributes linked to both regional disparities and enumeration areas was observed. The intra-cluster correlation ranged from 18% to 41.5% at the regional level and from 40% to 58.5% at the enumeration area level. Conclusions: While Tanzania's progress in EBF practices is laudable, regional disparities persist, demanding targeted interventions. Sustaining achievements while addressing wealth-based disparities and the decline in EBF with infant age is vital. The study highlights the need for broad national strategies and localized investigations to understand and enhance EBF practices across different regions and socioeconomic contexts.

Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation

BackgroundIn response to citizens’ concerns about elevated cancer incidence in their locales, US CDC proposed publishing cancer incidence at sub-county scales. At these scales, confidence in patients’ residential geolocation becomes a key constraint of geospatial analysis. To support monitoring cancer incidence in sub-county areas, we presented summary metrics to numerically delimit confidence in residential geolocation.ResultsWe defined a concept of Residential Address Discriminant Power (RADP) as theoretically perfect within all residential addresses and its practical application, i.e., using Emergency Dispatch (ED) Address Point Candidates of Equivalent Likelihood (CEL) to quantify Residential Geolocation Discriminant Power (RGDP) to approximate RADP. Leveraging different productivity of probabilistic, deterministic, and interactive geocoding record linkage, we simultaneously detected CEL for 5,807 cancer cases reported to North Carolina Central Cancer Registry (NC CCR)- in January 2022. Batch-match probabilistic and deterministic algorithms matched 86.0% cases to their unique ED address point candidates or a CEL, 4.4% to parcel site address, and 1.4% to street centerline. Interactively geocoded cases were 8.2%. To demonstrate differences in residential geolocation confidence between enumeration areas, we calculated sRGDP for cancer cases by county and assessed the existing uncertainty within the ED data, i.e., identified duplicate addresses (as CEL) for each ED address point in the 2014 version of the NC ED data and calculated ED_sRGDP by county. Both summary RGDP (sRGDP) (0.62–1.00) and ED_sRGDP (0.36–1.00) varied across counties and were lower in rural counties (p < 0.05); sRGDP correlated with ED_sRGDP (r = 0.42, p < 0.001). The discussion covered multiple conceptual and economic issues attendant to quantifying confidence in residential geolocation and presented a set of organizing principles for future work.ConclusionsOur methodology produces simple metrics – sRGDP – to capture confidence in residential geolocation via leveraging ED address points as CEL. Two facts demonstrate the usefulness of sRGDP as area-based summary metrics: sRGDP variability between counties and the overall lower quality of residential geolocation in rural vs. urban counties. Low sRGDP for the cancer cases within the area of interest helps manage expectations for the uncertainty in cancer incidence data. By supplementing cancer incidence data with sRGDP and ED_sRGDP, CCRs can demonstrate transparency in geocoding success, which may help win citizen trust.

Seroprevalence survey of SARS-CoV-2, community behaviors, and practices in Kansanshi and Kalumbila mining towns.

Coronavirus disease 2019 (SARS-CoV-2) was declared a global pandemic by WHO after it spreads quickly around the world from its source city in Wuhan. Africa has some of the lowest documented SARS-CoV-2 incidences globally, with over 9 million confirmed cases as of December 2022. This may be due to efficient mitigation, outbreak response, or demographic traits. Surveillance capability may have suffered as nations changed funding, regulations, and testing plans. Therefore, this study was to document the prevalence of SARS-CoV-2, its characteristics, and the socio-economic characteristics in the two mining districts of Solwezi and Kalumbila of Zambia. Between 28 March and 26 April 2021, a cross-sectional cluster-sample survey of households in two mining districts of Zambia was conducted. Twenty standard enumeration areas (SEAs) were randomly selected in Kansanshi (17 SEA) and Kalumbila (3 SEA) from a total of 67 SEA that encompass the two mines. Members of households aged <5 years were not eligible to participate in the survey. All participants that consented to participate in the interview were also asked to consent to test for SARS-CoV-2 infection using a rapid diagnostic test (RDT), which tested for recent infection and past exposure to the virus (IgM and IgG, respectively). Out of the total sample of 3,047 that were present for the interview, 622 of them agreed to test for COVID-19. Of the total that tested for SARS-CoV-2, 2.6% were IgM positive while 9.0% were IgG positive. Despite the above results, 1,586 participants that agreed to the interview indicated a low self-risk assessment of getting COVID-19 (46.5%) or someone (45.5%). On the public health measures, participants who did handwashing more than usual (65.0%), not hand sanitizing more than usual (69.0%), not disinfecting surfaces in their households than usual (87.5%), not avoiding drinking from bars or nightclubs (90.6%), and not wearing a mask when out in public places (71.1%). In the logistic multivariable model, participants with age 24 years and above (AOR = 2.94; 95% CI = 1.10, 7.81) and having experienced symptoms of SARS-CoV-2 (AOR = 2.60; 95% CI: 1.33, 5.05) had a significant effect on testing positive for SARS-CoV-2. Although the results showed that active COVID-19 prevalence in Solwezi and Kalumbila communities surrounding the two mines was low, exposure to infection was five times high. Government and mining firms should continue to sensitize the community members on the preventive measures of COVID-19 and continue with community testing so that all those positive but without symptoms can self-isolate and those with symptoms and sick can be admitted to the hospital.

Magnitude and Factors Associated with Teenage Pregnancy in Somaliland: Evidence from Somaliland Health and Demographic Survey, 2020.

Teenage pregnancy is estimated to be common in Somaliland. It is linked with adverse perinatal outcomes. However, no study has been conducted in the country on this subject. Therefore, this study intended to assess the magnitude and factors associated with teenage pregnancy in Somaliland. Data from the 2020 Somaliland Health and Demographic Survey (SLHDS); were used in the current analysis. A total sample of 3,786 women in reproductive age groups were involved as participants. The survey used a two-level cluster sampling design, which included initial selection of enumeration areas followed by selection of households. To identify associated factors, binary logistic regression analysis was applied. The magnitude of teenage pregnancy was 47.2% (95%CI: 45.5-48.9%). Being a nomadic resident (AOR: 1.26; 95%CI: 1.12-1.71), being in the lowest wealth quintiles (AOR: 1.34; 95%CI: 1.01-1.77), being in the Sanaag region (AOR: 1.95;95%CI: 1.54-2.46) and having lower educational attainment (AOR: 2.29; 95%CI: 1.08-4.83) were significantly associated with teenage pregnancy. Teenage pregnancy is highly prevalent in Somaliland and associated with a lower educational level, lower wealth quintiles and nomadic residence. Hence, governmental and non-governmental organizations should work on educating and financially empowering women by giving particular focus to nomadic people.